😎 Cocoon uses LLMs to augment data engineering and data science.

(Preview) Stage: Automatically suggest cleaning and generate DBT codes

• 👉 Python Package: Check out the notebook that cleans tables in Snowflake/DuckDB

• 👉 Check out the 1 min demo

• Interactively cast the column type and normalize cases

• The output is DBT staging sql/yml

Profile: Semantically understand your data and detect anomalies

• 👉 Online Service: Drop your CSV, and the profile will be ready in <10 min
• 👉 Python Package: Check out the notebook to interactively profile your table in python
• (Both run the same code; Python package requires LLM API, but is interactive and no size/#col limit)

Check out more profiles

Dataset Title	Profile Link
AQI and Latitude/Longitude of Countries	View Profile
2020 Property Sales Data	View Profile
AAC Shelter Cat Outcome	View Profile
Books	View Profile
Cancer	View Profile
Divorces 2000-2015	View Profile
German Credit Data	View Profile
K-Drama	View Profile
Patients	View Profile
Used Car Data	View Profile

Cite Cocoon Profile

@article{huang2024cocoon,
  title={Cocoon: Semantic Table Profiling Using Large Language Models},
  author={Huang, Zezhou and Wu, Eugene},
  journal={arXiv preprint arXiv:2404.12552},
  year={2024}
}

Future

We plan to support Data Cleaning, Data Integration, and Data Modeling.